
Negative Effects of Fitness Apps on Users
Fitness apps may have negative effects on users, leading to feelings of shame and disengagement. πββοΈπ
Discover the newest research about AI innovations in ποΈ Fitness & Sports.

Fitness apps may have negative effects on users, leading to feelings of shame and disengagement. πββοΈπ

Innovative CPF-TOPSIS model enhances decision-making in speech and sports training, improving accuracy by addressing uncertainty. ππ€ποΈββοΈ

Efficient walking energy expenditure estimation via continuous ramp protocol shows 10.7% error, outperforming traditional methods. πΆββοΈπ

New wearable device monitors muscle health in older adults. π¦΅π Aims to detect sarcopenia for timely intervention.

mHealth apps can boost daily walking by offering rewards like shopping coupons or train tickets. πΆββοΈποΈ
NHS Active 10 app users show increased walking activity. π Regular use leads to sustained benefits over time. πΆββοΈ

Exploring the exercise intention-behavior gap in college students reveals key factors influencing physical activity. ππββοΈ

AI physiotherapy clinic reduces NHS back pain waiting lists by 55% in 12 weeks. Same-day appointments now available. π₯π»

IoT-enabled deep learning model achieves 93.45% accuracy in real-time athlete performance tracking. ππββοΈ

Unmanned gyms leverage IoT & AI for 24/7 access, addressing urban fitness needs. Future trends focus on sustainability & user engagement. ποΈββοΈπ